Showing posts with label 3D. Show all posts
Showing posts with label 3D. Show all posts

Floor Space Index For Downtown Toronto

I am pleased to share the following interactive map that displays the estimated gross floor space index (FSI) for every parcel in downtown Toronto. This is based on the intersection of 3D massing data and parcel data obtained from the City of Toronto open data portal. Click on any parcel to see the FSI:



This work builds on the following maps that I published to Twitter last week:



















In addition, I also conducted an analysis of the difference between the current as-of-right density allowed by zoning, and the existing built density. The maps below show the 'unbuilt' density for the central city area:




















This is a highly experimental analysis so I am sure there are many minor issues with the exact accuracy of the data per parcel. For example this is gross density, based on the total building height, so it does not reflect the exclusion of mechanical areas or community spaces that usually exempt from traditional net FSI calculations used by the city for approvals. But overall, the patterns provide a starting point for understanding where redevelopment is most likely to occur based on the current zoning.

In addition, these data illustrate the fact that current zoning by-laws are out of date and do not reflect the Official Plan land use designation. If we want to encourage growth in the centre areas of the city, we must up-zone these areas to reduce the barriers to development. However, we need to have proper inclusionary zoning policies in place to ensure adequate supply of amenities including affordable housing and other community benefits that would traditionally be secured through Section 37 agreements negotiated at the time of rezoning.

I would love to hear your feedback on this project - contact me on Twitter @HealthyCityMaps or comment using the form below.
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Metro Vancouver Average Home Values in 2011

Thinking about buying a new home? This map shows where may want to start your search. One other tip to keep in mind when searching for a new home: although the suburbs may seem like better value as you can get a bigger home for a lower cost, you should also consider the total cost of housing + transportation in your assessment of affordability. Long commutes are expensive, and they can also have a serious toll on your physical and mental health.



The template above is also a new format I am working on, I hope it looks nice and clean. I am also very interested in alternative methods of data visualization, especially when they add value to a story. In this case, there is significant variability within the dark colour class so I thought it would be interesting to see the raw data expressed as a vertical extrusion on a 3D map:



Keep in mind this is the average value reported by respondents on the 2011 National Household Survey from Statistics Canada, so values within each reporting unit may vary significantly. There are several drawbacks to this dataset, for example the data include only privately owned dwellings and do not have any adjustment for home size. Additionally, this survey data suffers from a significant response bias since the mandatory long form census was abandoned, so take these data with a grain of salt and seek out a estate agent to learn more about your own local market using market-based MLS data for your region. If I could get MLS data for this area, I would love to map it. Or if you have any other mapping ideas, let me know!

RELATED POSTS:

Assessed Property Value Changes in Vancouver from 2013 to 2014

2014 Vancouver City-Wide Property Values

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